activity
20192026
most citedAPIS: A paired CT-MRI dataset for ischemic stroke segmentation challenge

22 citations · 31 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2026

Observation-Conditioned Latent Energy Priors for Sparse Implicit Neural Shape Completion

Paul Büschl, Ezequiel de la Rosa, Julia Wolleb +3

Implicit neural representations (INRs) can model continuous 3D shapes with a shared coordinate decoder and per-instance latent codes. At test time, autodecoder-style models commonl…

cs.CE2026

An Imaging-Informed Reaction-Diffusion Model of Infarct Growth

Muhammad Hussnain Abbas, Michal Balcerak, Asif Ahmad +2

Predicting final ischemic infarct volumes from acute imaging is a cornerstone of personalized stroke management, yet current strategies remain polarized between uninterpretable mac…

cs.CV2026

X-LMC: Cross-View Spatiotemporal Collateral Circulation Scoring from DSA

Maedeh Hafezi Moghadas, Hakim Baazaoui, Lukas Bastian Otto +3

Digital subtraction angiography (DSA) is the reference standard for leptomeningeal collateral (LMC) assessment, providing critical prognostic insights to guide secondary treatment…

eess.IV2026

Leptomeningeal Collateral Detection on DSA via Vessel-Graph Neural Networks

Junyong Cao, Hakim Baazaoui, Chinmay Prabhakar +5

Leptomeningeal collaterals (LMCs) are an important prognostic factor in acute ischemic stroke. Existing automated methods rely on CT angiography (CTA), but individual LMCs are ofte…

eess.IV2023★ 22 cited

APIS: A paired CT-MRI dataset for ischemic stroke segmentation challenge

Santiago Gómez, Daniel Mantilla, Gustavo Garzón +4

Stroke is the second leading cause of mortality worldwide. Immediate attention and diagnosis play a crucial role regarding patient prognosis. The key to diagnosis consists in local…

cs.CV2019★ 9 cited

Myocardial Infarction Quantification From Late Gadolinium Enhancement MRI Using Top-hat Transforms and Neural Networks

Ezequiel de la Rosa, Désiré Sidibé, Thomas Decourselle +3

Significance: Late gadolinium enhanced magnetic resonance imaging (LGE-MRI) is the gold standard technique for myocardial viability assessment. Although the technique accurately re…